Cloud Native and Sustainable, Reproducible Scientific Computing
Conference (INTERMEDIATE level)
Room B
Scientific computing has been going through significant changes, adapting to new platforms and ways of working shared with industry domains where requirements now match or exceed those of even the largest scientific collaborations.
What before took tens of in house developers to develop and maintain large software stacks, can now be done with significantly less resources by joining large open communities of engineers from thousands of organizations around the world.
This session will cover some of the technologies at the heart of this change, and the impact they're having in the daily life of scientists and researchers. It will describe how containers, kubernetes and cloud native tools have changed first traditional IT with microservices while later also improving collaboration and reproducibility for scientific workloads; how the cloud and open cloud native platforms have enabled businesses to embrace big data while cutting decades of technical debt on scientific platforms; and how this is all helping further democratize science, expanding and easing the access to large computing resources.
What before took tens of in house developers to develop and maintain large software stacks, can now be done with significantly less resources by joining large open communities of engineers from thousands of organizations around the world.
This session will cover some of the technologies at the heart of this change, and the impact they're having in the daily life of scientists and researchers. It will describe how containers, kubernetes and cloud native tools have changed first traditional IT with microservices while later also improving collaboration and reproducibility for scientific workloads; how the cloud and open cloud native platforms have enabled businesses to embrace big data while cutting decades of technical debt on scientific platforms; and how this is all helping further democratize science, expanding and easing the access to large computing resources.
Ricardo Rocha
CERN
Ricardo leads the Platform Infrastructure team at CERN with a strong focus on cloud native deployments and machine learning. He has led for several years the internal effort to transition services and workloads to use cloud native technologies, as well as dissemination and training efforts. Ricardo got CERN to join the Cloud Native Computing Foundation (CNCF), is a member of the CNCF Technical Oversight Committee (TOC) and End User Technical Advisory Board (TAB), as well as a lead of the CNCF Research User Group. Prior to this work Ricardo helped develop the grid computing infrastructure serving the Large Hadron Collider (LHC).